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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
FUZZY LOGIC ELM 014 0 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Prof.Dr. İHSAN PEHLİVAN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Öğretim
Dersin Amacı
Presenting basic knowledge about fuzzy logic, neural Networks and applications.
Dersin İçeriği
Fuzzy sets. Membership functions. Fuzzy operations. T-norm, N- norm operator. Fuzzy Rules Fuzzification, defuzzification. Fuzzy inferrence. Mamdani fuzzy inference. Mamdani fuzzy inference applications. Sugenoi fuzzy inference and applications. Matlab fuzzy applications. The structure of the brain. Artificial Neuron. Perceptron. Multilayer neural networks. Learning. Back propagation algorithm. Momentum coefficient. Matlab neural network applications.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Understands basic knowledge about fuzzy logic 1 - 2 - A - C -
2 - Understands basic knowledge about neural Networks 1 - 4 - A - C -
3 - Understands using the fuzzy logic and ANN for encountered problem. 1 - A - C -
4 - Comprehends common fuzzy inference methods. 1 - A - C -
5 - Comprehends sample fuzzy logic and ANN tools. 1 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Fuzzy sets. Membership functions.
2 Fuzzy operations. T-norm, N- norm operator.
3 Fuzzy Rules Fuzzification, defuzzification. Fuzzy inferrence.
4 Mamdani fuzzy inference.
5 Mamdani fuzzy inference applications.
6 Sugenoi fuzzy inference and applications.
7 Matlab fuzzy applications.
8 The structure of the brain. Artificial Neuron.
9 Perceptron.
10 Multilayer neural networks.
11 Learning.
12 Back propagation algorithm.
13 Momentum coefficient.
14 Matlab neural network applications.

Kaynaklar

Ders Notu
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve complex engineering problems. X
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. X
4 Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or research topics pertaining to the relevant discipline.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; Ability to write effective reports and to understand written reports, to prepare design and manufacturing reports, to make effective presentations, to give and take clear and concise instructions.
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9 Awareness of professional and ethical responsibility; information about the standards used in engineering applications.
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 40
KisaSinav 2 15
Odev 3 10
ProjeTasarim 4 35
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

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